Python scale_across_time Examples

Example #1

File: hour_means_plot.py Project: IraKorshunova/kaggle-seizure-prediction

def plot(subject, data_path, write_dir, scale):
    d = load_train_data(data_path, subject)
    x, y, filename_to_idx = d['x'], d['y'], d['filename_to_idx']
    if scale:
        x, _ = scale_across_time(x=x)

    filenames_grouped_by_hour = cPickle.load(open('filenames.pickle'))
    preictal_hours = copy.deepcopy(filenames_grouped_by_hour[subject]['preictal'])
    interictal_hours = copy.deepcopy(filenames_grouped_by_hour[subject]['interictal'])

    plot_hour_means(x, filename_to_idx, preictal_hours, type='preictal', write_dir=write_dir)
    plot_hour_means(x, filename_to_idx, interictal_hours[:10], type='interictal', write_dir=write_dir)

Example #2

File: inputs_plot.py Project: wchuanghard/kaggle-seizure-prediction

def plot_examples(subject, data_path, scale):
    d = load_train_data(data_path, subject)
    x, y, filename_to_idx = d["x"], d["y"], d["filename_to_idx"]
    if scale:
        x, _ = scale_across_time(x=x)

    filename = "Dog_1/Dog_1_interictal_segment_0001.mat"
    idx = filename_to_idx[filename]
    print filename_to_idx

    fig = plt.figure()
    fig.suptitle(filename)
    print x[idx].shape
    for i in range(x[idx].shape[0]):
        fig.add_subplot(4, 4, i)
        plt.imshow(x[idx, i, :, :], aspect="auto", origin="lower", interpolation="none")
        plt.colorbar()
    plt.show()

Example #3

File: inputs_plot.py Project: zhmz90/kaggle-seizure-prediction

def plot_examples(subject, data_path, scale):
    d = load_train_data(data_path, subject)
    x, y, filename_to_idx = d['x'], d['y'], d['filename_to_idx']
    if scale:
        x, _ = scale_across_time(x=x)

    filename = 'Dog_1/Dog_1_interictal_segment_0001.mat'
    idx = filename_to_idx[filename]
    print filename_to_idx

    fig = plt.figure()
    fig.suptitle(filename)
    print x[idx].shape
    for i in range(x[idx].shape[0]):
        fig.add_subplot(4, 4, i)
        plt.imshow(x[idx, i, :, :],
                   aspect='auto',
                   origin='lower',
                   interpolation='none')
        plt.colorbar()
    plt.show()

Example #4

def plot(subject, data_path, write_dir, scale):
    d = load_train_data(data_path, subject)
    x, y, filename_to_idx = d['x'], d['y'], d['filename_to_idx']
    if scale:
        x, _ = scale_across_time(x=x)

    filenames_grouped_by_hour = cPickle.load(open('filenames.pickle'))
    preictal_hours = copy.deepcopy(
        filenames_grouped_by_hour[subject]['preictal'])
    interictal_hours = copy.deepcopy(
        filenames_grouped_by_hour[subject]['interictal'])

    plot_hour_means(x,
                    filename_to_idx,
                    preictal_hours,
                    type='preictal',
                    write_dir=write_dir)
    plot_hour_means(x,
                    filename_to_idx,
                    interictal_hours[:10],
                    type='interictal',
                    write_dir=write_dir)